Overview The QUALCOMM Location Systems Team works on the architecture, design, implementation and validation of algorithms for world-
class location and navigation technology, from concept to commercialization. This position is focused primarily on GNSS-based location and navigation, in particular the physical layer or Measurement Engine part of the GNSS receiver.
Main responsibilities for this position include : (1)Design the signal processing algorithms for acquiring, tracking, and measuring GNSS signals.
Ability to translate models and algorithms into functional fixed-point reference models for the GNSS Measurement Engine design.
2)Model (C / C++), simulate, and verify GNSS Measurement Engine sub-systems that are part of functional pre-product and final product design implementation.
Support hardware, firmware, software and RF teams with verification of GNSS receiver prototypes and products.(3)Provide system support for debug, and performance calibration.
Drive resolution of technical issues with cross-functional teams. Escalate issues in an appropriate and timely manner. Apply advanced problem solving of complex GNSS receiver subsystems including RF, HW, and FW implementation.
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company. Minimum Qualifications
based link-level simulation and modeling Experience with C / C++, Matlab, and / or other simulation and modeling tools / languagesKnowledge of GNSS systems and receiver design.
Experience with machine learning algorithm design and implementation.Demonstrated technical leadership and a strong communications system engineering background.
Familiar with demodulation and decoding algorithms.Experience with design, verification, and debug of signal processing algorithms coded in C / C++.
Experience with fixed-point modeling for hardware / firmware verification of communications systems. Experience with scripting languages such as Python or Perl.
Experience with revision control systems.Experience with Linux and Windows operating systems.Must possess strong organizational, interpersonal, and communication skills.
Strong problem-solving capability. Education Requirements Required Master's degree in Electrical Engineering or equivalent
Preferred Ph.D. degree in Electrical Engineering or equivalent
M.S. or Ph.D degree focus must be in the areas of digital communications theory and signal processing.